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Article URL: https://www.livescience.com/technology/cool-chemistry-trick-allows-new-tattoos-to-turn-on-and-off Comments URL: https://news.ycombinator.com/item?id=50047802 Points: 57 # Comments: 26

Article URL: https://nonfunctional.substack.com/p/passkeys-are-a-trap-do-not-use-them Comments URL: https://news.ycombinator.com/item?id=50048312 Points: 546 # Comments: 302

Article URL: https://pub.sakana.ai/mass/ Comments URL: https://news.ycombinator.com/item?id=50048522 Points: 108 # Comments: 58

Article URL: https://royfish.dev/fingerprints-are-the-new-cookies Comments URL: https://news.ycombinator.com/item?id=50048642 Points: 314 # Comments: 141

Article URL: https://github.com/ClickHouse/clickhouse-c Comments URL: https://news.ycombinator.com/item?id=50049003 Points: 36 # Comments: 1

Article URL: https://terrytao.wordpress.com/2026/10/11/illustration-beyond-proof/ Comments URL: https://news.ycombinator.com/item?id=50049133 Points: 61 # Comments: 0

Article URL: https://www.americanscientist.org/article/whatever-became-of-holography Comments URL: https://news.ycombinator.com/item?id=50049411 Points: 115 # Comments: 55

Article URL: https://tedhaley.ca/pensieve/ Comments URL: https://news.ycombinator.com/item?id=50049508 Points: 67 # Comments: 14

Hi HN! I'm Saarth. I'm in 9th grade, and I built Atticus. Atticus is an incredibly fast and cheap Mac assistant that can do tasks for you. You hold down Control-Option-Space, speak or type your task, be it complex or a simple browser search, and Atticus will get on it. The interesting part is that simple tasks, like opening apps, playing a Spotify playlist, or web queries, don't touch AI, and instead are processed locally and typically finish in under a second. For example, prompting Atticus to ...

Article URL: https://github.com/shaongitbd/doory Comments URL: https://news.ycombinator.com/item?id=50049872 Points: 91 # Comments: 23

Article URL: https://crestbrowser.com/ Comments URL: https://news.ycombinator.com/item?id=50051097 Points: 10 # Comments: 4

Article URL: https://amosbbatto.wordpress.com/2026/10/05/linux-phones-alternative/ Comments URL: https://news.ycombinator.com/item?id=50051530 Points: 100 # Comments: 102

Article URL: https://lalinsky.com/2026/10/11/type-safe-html-templating-in-zig.html Comments URL: https://news.ycombinator.com/item?id=50051573 Points: 78 # Comments: 36

Article URL: https://www.shokunin.studio/blog/2026/10/9/attack-of-the-vibe-coded-photoshop-clones Comments URL: https://news.ycombinator.com/item?id=50052156 Points: 99 # Comments: 96

Article URL: https://clickhouse.com/blog/posette-talk-recap-postgres-isnt-slow-your-storage-is Comments URL: https://news.ycombinator.com/item?id=50052163 Points: 9 # Comments: 2

On 3 October 2026, Aleph Alpha, the AI company from Heidelberg, published the weights of a new model called Kolibri on Hugging Face under the Apache 2.0 licence. It is a 78-billion-parameter English and German model you can run on your own GPUs, with every prompt staying inside your network. If you run your own stack, this is the most interesting model release of the year so far. Hitesh Saini has deployed self-hosted infrastructure for clients across Europe, the US and Australia since 2020. ...

Open-weight models — models whose trained weights are published for anyone to download — are now good enough for a lot of everyday work: coding agents, tool use, extraction, summarising. The hard part is no longer the model. It is running it. This post covers the three ways to use an open-weight model, what to check before you pick a hosted API, and the few lines of code it takes to call one from the SDKs you already use. Open-weight is not the same as open source "Open-weight" m...

There’s a failure mode in on-device AI agents that doesn’t show up in testing. It shows up five minutes into a real session. The device gets warm. The CPU downclocks. Latency spikes. The agent that responded in 200ms is now taking 800ms. Users don’t report “thermal throttling” — they report “it got slow” or “it stopped working.” By the time you’re debugging, it looks like a model problem. It’s not. What’s actually happening Android’s thermal system throttles CPU and GPU frequency ...

This is a submission for the Kaggle Benchmarking Challenge . I built a Kaggle benchmark to test whether coding agents can make a real CPU inference program faster while preserving its tested behavior. Gemini, Claude and GPT read, edit and test the C source of Karpathy’s llama2.c under the same tool-call and editing limits. Their resulting programs run TinyStories checkpoints of 15M, 42M and 110M parameters across several request workloads. The benchmark evaluates both the edited program ...

I Put Three AI Services on One 24 GB GPU. It Used 17.8. Here's What Fits. The Local LLM Lab — Part 9 One controlled experiment. One number. One verdict. The "how much VRAM do I need" advice on the internet comes in one flavour: a spec sheet. "27B in FP8 needs 28 GB. 70B in Q4 needs 42 GB. Buy a 48 GB card." That's the answer for one model. Nobody tells you what happens when you try to run your actual stack — a transcription service, an embedding model, a small chat model — o...

we built a microservice that ingests ~200k events / sec and persists each to a PostgreSQL write‑ahead log (WAL) via libpq batch mode. to avoid a syscall per row we accumulated records in an unbounded in‑memory buffer and flushed only when the buffer hit 1 GB or the process terminated. under realistic load the 99th‑percentile latency jumped from ~2 ms to >200 ms, and tail latency kept growing as the service ran. the bottleneck unbounded buffering breaks three hard invariants: ...

Off-grid solar lighting systems look simple: a solar panel collects energy, a battery stores it, and an LED provides lighting at night. However, when the system stops working, the problem is usually not caused by one single component. The failure may come from the interaction between power generation, energy storage, control logic, and the final load. A basic solar lighting system usually works like this: Solar Panel → Battery → Controller → Sensor → LED Load When troubleshooting, it i...

Merging PDF files sounds like a trivial Sunday afternoon project. Grab file A, grab file B, glue them together, download. How hard could it be? If you've ever inspected what popular libraries actually do—or worse, tried to write a parser yourself—you know that PDF is not a stream of formatted text. It’s a 30-year-old PostScript-derived, semi-random-access object graph masquerading as a document format. Let's walk through what actually happens when you merge two PDF files, why naive approac...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass The Idea: Nostalgia as a Reason to Step Outside Do you remember the sound of children playing outside in the evening? The distant sound of a ball hitting the ground. Someone calling a friend home. Birds returning to the trees. Leaves moving in the wind. The familiar, unplanned noise of a neighborhood that seemed to come alive as the day slowed down. For many of us, these sounds belong...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass What I Built Most apps want you to keep looking at them. I wanted to make one that sends you away. So I turned touching grass into a game: quests, XP, a plant that grows, and an AI that checks your photos without anything leaving your phone. Touch Grass Quest gives you five outdoor quests every day ("find a pinecone", "spot a puddle") plus one shared quest that everyone gets. You open ...

iOS Keeps Observing a Dead Kotlin Flow — the CommonFlow Leak Hiding in Your KMP Bridge So you've wrapped your shared Flow<T> for Swift consumption. Something like this on the Kotlin side: class CommonFlow < T : Any >( private val wrapped : Flow < T >) { fun watch ( block : ( T ) -> Unit ): CommonFlowCancellation { val job = Job () wrapped . onEach { block ( it ) ...

CuriousLenz — Making Image Understanding Simple with AI I'm excited to share CuriousLenz, a web application that lets users upload an image and get an AI-generated explanation. 🔗 Live Demo: https://curiouslenz.vercel.app/ 💻 GitHub Repository: https://github.com/raghavit837/curiouslenz What does CuriousLenz do? Users can upload an image and ask the application to analyze it. CuriousLenz sends the image to an AI-powered backend and displays the generated response. Tech Stack ...

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